Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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One module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the following2° Year It will be activated in the A.Y. 2026/2027
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One module to be chosen between the followingOne module to be chosen among the following| Modules | Credits | TAF | SSD |
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One module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the followingOne module to be chosen between the following| Modules | Credits | TAF | SSD |
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One module to be chosen between the followingOne module to be chosen among the following| Modules | Credits | TAF | SSD |
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Two modules to be chosen among:
- 1st year - Microbial ecology, Genetics and biotechnology of no-food crops, Sustainable agriculture - delivered in 2025/2026
- 2nd year - Environmental microbiology and bioremediation, Sustainable phytopathogen management, Climate change and soil functions - delivered in 2026/2027Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Bioinformatics for microbial biotechnologies (2025/2026)
Teaching code
4S013612
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
BIO/11 - MOLECULAR BIOLOGY
Period
1st semester dal Oct 1, 2025 al Jan 30, 2026.
Courses Single
Authorized with reserve
Learning objectives
Over the last decade the technological improvements of sequencing technologies (Next Generation Sequencing, NGS) had an enormous impact on the understanding of the genomes complexity and had provided interesting opportunities for the development of bioinformatics tools and programs for data analysis and management. The course aims to provide a general overview of the different computational methods applied in the field of NGS and omics science. These new technologies, which made possible to move from a reductionist to a holistic approach, have made it necessary to develop new strong interdisciplinary methods for data interpretation and integration. The course will provide students with basic knowledge on bioinformatics tools for the interpretation and integration of different omics data applied to the study of genomes, of gene expression and of metagenomic data for community analysis and microbial characterization. The course will also include a part performed in a computer lab where the computational programs necessary for the manipulation and interpretation of biological data will be illustrated.
Prerequisites and basic notions
No specific prerequisites are required. Basic knowledge of bioinformatics (e.g., sequence alignment) may be helpful but is not essential to better understand the program.
Program
1. Introduction to Next-Generation Sequencing (NGS) Data
2. Genome Assembly
3. Alignment of NGS Data to a Reference Genome
4. Genome Analysis
a. Gene Prediction and Annotation
5. Analysis of Transcriptomics and RNA-Seq Data
a. Gene Quantification b. Data Normalization
c. Identification of Differentially Expressed Genes
6. Comparative Genomics
a. Pangenome Creation
b. Resequencing and Variant Calling
7. Metagenomics
a. Metabarcoding
i. Marker Genes
ii. Sample Inference
iii. Taxonomic Assignment
b. Whole Metagenome Sequencing
i. Assembly
ii. Binning
iii. Annotation
c. Metatranscriptomics
d. Data Analysis
i. Ecological Metrics
ii. Differential Abundance
Didactic methods
The teaching methods adopted in the course are:
- Frontal lectures
- Computer laboratory exercises
- Reading and presentation of scientific articles
Learning assessment procedures
The exam consists of a written test of the student's knowledge of the topics covered in the course. The exam consists of six open-ended questions. Students must demonstrate their understanding of the operation and application of the main bioinformatics programs and approaches explained in class. Students who choose to complete the activity related to the presentation of a scientific paper may receive a bonus of up to 2 points added to their exam score.
Evaluation criteria
The level of understanding of the theoretical topics, knowledge of the functioning and application of the main bioinformatics programs and approaches, and linguistic competence, with particular attention to the use of appropriate scientific and technical terminology, will be assessed.
Criteria for the composition of the final grade
Each question will be assigned a score of 10. The final grade will be scaled to 31. Grades above 30.5 will be awarded honors. The presentation of scientific articles is not mandatory; students who intend to submit a scientific article may receive a bonus of up to two points added to their exam grade.
Exam language
Italiano
